Max H. Farrell

Associate Professor of Economics
Mellichamp Chair of Mind and Machine Intelligence
University of California, Santa Barbara

Curriculum Vitae (PDF)

Find me:
mhfarrell@gmail.com
Google Scholar
Semantic Scholar


Software

Working Papers

  1. Covariate-Adjusted Regression Discontinuity Designs, with Sebastian Calonico, Matias Cattaneo, Filippo Palomba, and Rocio Titiunik
  2. Structural Deep Learning, with Tengyuan Liang and Sanjog Misra
  3. Nonlinear Binscatter Methods, with Matias Cattaneo, Richard Crump, and Yingjie Feng

Publications

  1. Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators, with Matias Cattaneo, Michael Jansson, and Ricardo Masini
  2. On Binscatter, with Matias Cattaneo, Richard Crump, and Yingjie Feng
  3. Coverage Error Optimal Confidence Intervals for Local Polynomial Regression, with Sebastian Calonico and Matias Cattaneo
  4. Deep Neural Networks for Estimation and Inference, with Tengyuan Liang and Sanjog Misra
  5. Large Sample Properties of Partitioning-Based Series Estimators, with Matias Cattaneo and Yingjie Feng
  6. Optimal Bandwidth Choice for Robust Bias Corrected Inference in Regression Discontinuity Designs, with Sebastian Calonico and Matias Cattaneo
  7. Characteristic-Sorted Portfolios: Estimation and Inference, with Matias Cattaneo, Richard Crump, and Ernst Schaumburg
  8. Regression Discontinuity Designs Using Covariates, with Sebastian Calonico, Matias Cattaneo, and Rocio Titiunik
  9. On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference, with Sebastian Calonico and Matias Cattaneo
  10. Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations
  11. Optimal Convergence Rates, Bahadur Representation, and Asymptotic Normality of Partitioning Estimators, with Matias Cattaneo
  12. Efficient Estimation of the Dose Response Function under Ignorability using Subclassification on the Covariates, with Matias Cattaneo

Last updated September 2024